BlogWe have to strike the right balance between automation, manual governance, and scale
Today, data governance units are staffed with dedicated professionals who work in a range of specialized activities. With such dedicated personnel, the rest of the enterprise recognizes it has a resource to help it with its data-related needs and has begun to request services from data governance. If data governance simply reacts in an ad hoc manner to the services requested of it, then it is likely to be limited in its effect and will have difficulty demonstrating how it is making a positive difference.
However, if data governance can manage its service requests via a casework approach then it can be much more successful. Casework involves using a standard process to record, assign, prioritize, manage, report on and close out service requests. When a data governance unit decides to formally adopt casework as a way of working, there are a number of principles that should be followed: